Data Mining with The Purpose of IoT Exploring Data Mining Techniques for Enhanced Insights in IoT Environments

Data Mining with The Purpose of IoT

Exploring Data Mining Techniques for Enhanced Insights in IoT Environments

Kanak Dayama

MIT-WPU

(School Of Business-Business Analytics)

ABSTRACT:

New cyber-physical devices can be connected through the Internet of Things (IoT), significantly increasing the scattered, heterogeneous, and dynamic data flow at the network edge. The use of conventional Data Mining techniques is neither successful nor efficient because many IoT applications (such as industrial applications, emergency management, and real-time systems) require quick reaction times while also relying on devices with limited resources. Therefore, it is necessary to modify traditional data mining techniques in order to optimize reaction times, energy usage, and data traffic while maintaining the necessary level of accuracy for IoT applications. New data mining techniques specifically suited for IoT scenarios have been examined in this study, with a focus on the exciting, newly developed, and revolutionary distributed computing paradigm known as Edge Computing.

Key Words: Big data, IoT, Data Mining, Techniques, Functionalities, Methodologies, IoT applications., Data Cleaning.